Results 41 to 50 of about 50,949 (199)
An Improved Variable Kernel Width for Maximum Correntropy Criterion Algorithm [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2020 The maximum correntropy criterion (MCC) algorithm has attracted much attention due to its capability of combating impulsive noise. However, its performance depends on choice of the kernel width, which is a hard issue. Several variable kernel width schemes based on various error functions have been proposed to address this problem.
Long Shi 0002 +2 more
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智能科学与技术学报, 2021 A method which utilizes maximum correntropy criterion and locality information called collaborative representation based classifier with maximum correntropy criterion and locality constraint (CRC/MCCLC) was proposed.On the one hand, CRC/MCCLC was not ...
Qinru YU, Guifu LU
doaj
Generalized Asymmetric Correntropy for Robust Adaptive Filtering: A Theoretical and Simulation Study
Remote Sensing, 2022 Correntropy has been proved to be effective in eliminating the adverse effects of impulsive noises in adaptive filtering. However, correntropy is not desirable when the error between the two random variables is asymmetrically distributed around zero.
Hua Qu +5 more
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Cognitive Computation and Systems, 2022 Aiming at meetiing the need to filtering flight trajectory data for aircraft testing, a novel adaptive cubature Kalman filter (CKF) is proposed based on the maximum correntropy and Gaussian‐sum in this paper.
Jing G. Bai +4 more
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Unbiased converted measurement manoeuvering target tracking under maximum correntropy criterion
Cognitive Computation and Systems, 2020 In this study, the manoeuvering target tracking problem is addressed by using the unbiased converted measurements from a two-dimensional radar system.
Guoyong Wang, Xiaoliang Feng
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Error analysis on regularized regression based on the Maximum correntropy criterion
Mathematical Foundations of Computing, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bingzheng Li, Zhengzhan Dai
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A Robust Adaptive Filter for a Complex Hammerstein System
Entropy, 2019 The Hammerstein adaptive filter using maximum correntropy criterion (MCC) has been shown to be more robust to outliers than the ones using the traditional mean square error (MSE) criterion. As there is no report on the robust Hammerstein adaptive filters
Guobing Qian, Dan Luo, Shiyuan Wang
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Entropy, 2019 A novel robust proportionate affine projection (AP) algorithm is devised for estimating sparse channels, which often occur in network echo and wireless communication channels.
Zhengxiong Jiang +2 more
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Computer Modeling in Engineering & Sciences: In this paper, an advanced satellite navigation filter design, referred to as the Variational Bayesian Maximum Correntropy Extended Kalman Filter (VBMCEKF), is introduced to enhance robustness and adaptability in scenarios with non-Gaussian noise and ...
Dah-Jing Jwo, Yi Chang, Taesung Cho
semanticscholar +1 more source
Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 754-768, June 2026.ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang +4 more
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